What is the main objective of machine learning?

The main objective of machine learning is to learn from data without explicit programming. This process involves algorithms that enable computers to identify patterns, make decisions, and improve their performance on tasks over time through exposure to data. Essentially, machine learning empowers systems to automatically adapt and optimize their operations based on the input they receive, instead of relying on hard-coded rules created by a programmer.

In contrast, the other options, while they may involve aspects of machine learning or be related technologies, do not capture its primary goal. For example, reading and processing natural languages is a specific application of machine learning but does not encompass the broader objective. Generating synthetic media is another application that can benefit from machine learning techniques, but it is not central to the overall goal of enabling learning from data. Finally, improving user authentication methods can also involve machine learning, but this is a focused area rather than the fundamental aim of the technology. Thus, the essence of machine learning is best represented by the ability to learn from data autonomously.